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E Edge Technology Pvt. Ltd. is seeking a remote AI Engineer to design, develop, and deploy AI-driven solutions. You will build AI agents, integrate ML models into full-stack web apps, and leverage cloud-native architectures for real-time intelligent systems.
The ideal candidate has strong Python, ML/NLP skills, and experience with TensorFlow, REST APIs, and AWS. You will collaborate with cross-functional teams in an agile, remote environment to deliver scalable AI-powered applications.
Established in 2016 , E Edge Technology Pvt. Ltd. is a software development company based in Ahmedabad, India. We help startups, SMBs, and growing businesses build reliable digital solutions, including custom web applications, mobile apps, eCommerce platforms, CMS solutions, API integrations, and database-driven systems.
Our team focuses on practical, scalable, and cost-effective development while maintaining strong technical quality and clear communication. We work with clients worldwide and support businesses from initial ideas through development, integration, launch, and ongoing improvements.
This is a remote position.
We are seeking a highly motivated and technically proficient AI Engineer to join our innovative IT Services team. In this role, you will be at the forefront of designing, developing, and deploying intelligent AI-driven solutions that power next-generation applications. You will work on building scalable AI agents, integrating machine learning models into full-stack web applications, and leveraging cloud-native architectures to deliver high-performance, real-time intelligent systems. Your expertise in Python, AI agents, and full-stack development will be instrumental in transforming complex business problems into automated, data-driven solutions. This is a remote position offering the opportunity to collaborate with cross-functional teams on cutting-edge projects that push the boundaries of artificial intelligence and software engineering. The ideal candidate is passionate about innovation, has a strong foundation in data science and machine learning, and thrives in agile, fast-paced environments.